Consolidate tickets (ITSM), logs/incidents, Oracle apps data, and knowledge-base documents into an Oracle lakehouse (Object Storage + Autonomous Database). Embed them with OCI Generative AI and store the vectors in Oracle AI Vector Search. A RAG assistant then retrieves similar past cases and proposes grounded, cited resolutions to analysts. ML models add classification, clustering of recurring issues, and log anomaly detection. A feedback loop writes approved resolutions back to the knowledge base.
Value: faster triage, lower MTTR, fewer repeat incidents, and preserved institutional knowledge.
